class_docstr: Tests that the template defines the correct decomposition.
docstr: Checks the state for real and complex padding constants.
docstr_tok: ["Checks","the","state","for","real","and","complex","padding","constants","."]
code: def test_prepares_padded_state_broadcasted(self, inpt, pad):
      """Checks the state for real and complex padding constants."""
  
      n_qubits = 2
      dev = qml.device("default.qubit", wires=n_qubits)
  
      @qml.qnode(dev)
      def circuit(x=None):
          qml.AmplitudeEmbedding(
              features=x,
              wires=range(n_qubits),
              pad_with=pad,
              normalize=False,
          )
          return qml.state()
  
      state = circuit(x=inpt)
      # Make sure all padded values are the same constant
      # by checking how many different values there are
      assert len(np.unique(state[:, inpt.shape[1] :])) == 1
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane import numpy
label_desc: Use image node_id 6 for calling the TestDecomposition obj's underlying member method code with example usage: obj.test_prepares_padded_state_broadcasted(inpt, pad) and returns: qml